AI Large Model Education RobotProduct Brochure
R550 ROS2 AI Large Model Educational Robot
Five chassis structures available
Product Details

Product Overview
R550: Designed for scenarios where multiple kinematics need to be tested within the same curriculum. All five chassis share a unified ROS2 software stack and tutorial set, allowing students to compare navigation algorithm performance across different chassis platforms using the same codebase.
The vehicle comes equipped with a 3C-certified lithium battery and over 16G of code-level video tutorials. Paired with multimodal large model interaction capabilities, it supports advanced applications such as vision-language model integration and mobile grasping.
Other models in the same series
Key Features
- Choose from Ackerman, Mecanum, Omni-directional, Track, and 4WD configurations based on your course focus.
- Comes with ultra 16G code-level video tutorials and a 3C-certified lithium battery
- Supports AI multimodal large model interaction and visual grasping experiments.
Typical Applications
- Comparative experiment on navigation performance across different kinematic models
- Multimodal Large Model Integration and Voice Command Control
- Mobile Grasping and Visual Servoing Debugging
Technical Specifications (11Item
- Product Version
- Ackerman / Mecanum / Omni-directional / Crawler / 4WD
- Overall Dimensions
- 271×189×15 1mm, 266×230×20 2mm, 234×234×19 1mm, 268×268×16 4mm, 266×206×19 3mm
- Drive Wheel
- 65mm rubber wheel / 75mm metal Mecanum wheel / 60mm metal omnidirectional wheel / metal track wheel / wheels for 4WD cars
- Curb Weight
- 1.8kg / 2.9kg / 2.18kg / 2.54kg / 2.68kg (by version)
- Load Capacity
- 3kg / 6kg / 3kg / 4kg / 6kg (by version)
- Maximum Speed
- 1.2m/s / 1.4m/s / 0.84m/s / 1m/s / 1.2m/s (by version)
- motor
- MG513 Metal Gear Reduction Motor
- Encoder
- 500-wire AB GMR encoder (patent 202122109210.2)
- Low-level Controller
- STM32F407VET6
- Battery
- 3C-certified 12V 5100mAh lithium battery
- Resources
- Over 6G of code-level video tutorials and open-source materials